Python Developer

Python

We are looking for a talented Senior Software Developer with strong Python skills. You will join our AI
Solutions team. We focus on creating advanced AI systems in the Electrification field. In this role,
you will work with AI/ML engineers, data scientists, and cloud architects. Together, you will develop
robust, scalable software solutions using the latest AI technologies. This is a great chance to work
where AI innovation meets highperformance backend systems and cloud-native development.
Responsibilities:
Write highquality, testable, and maintainable Python code using object-oriented programming
(OOP), SOLID principles, and design patterns.
Develop RESTful APIs and backend services for AI/ML model serving using FastAPI.
Collaborate with AI/ML engineers to integrate and deploy Machine Learning, Deep Learning, and
Generative AI models into production environments.
Contribute to software architecture and design discussions to ensure scalable and cient
solutions.
Implement CI/CD pipelines and adhere to DevOps best practices for reliable and repeatable
deployments.
Design for observability, incorporating structured logging, performance monitoring, and alerting
mechanisms. Optimize code and system performance, ensuring reliability and robustness at scale.
Participate in code reviews, promote clean code practices, and mentor junior developers when
needed.
Required Qualifications:
Bachelor or Master degree in Computer Science, IT, or a related field.5+ years of handson experience in software development, with a focus on Python. Deep understanding of OOP concepts, software architecture, and design patterns.
Experience with backend web frameworks, preferably FastAPI.
Familiarity with integrating ML/DL models into software solutions.
Practical experience with CI/CD, containerization (Docker), and version control systems (Git).
Exposure to MLOps practices and tools for model deployment and monitoring.
Strong collaboration and communication skills in crossfunctional engineering teams. Familiarity with cloud platforms like AWS (e.g., Sagemaker, Bedrock) or Azure (e.g., ML Studio,
OpenAI Service).
Preferred Qualifications:
Experience in Rust is a strong plus.
Experience working on highperformance, scalable backend systems.
Exposure to logging/monitoring stacks like Prometheus, Grafana, ELK, or OpenTelemetry.
Understanding of data engineering concepts, ETL pipelines, and processing large datasets.
Background or interest in the Power and Energy domain is a plus.

Mandatory Skills

Python
AI/ML model serving using FastAPI.
ML/DL models
MLOps practices